Last updated: 2021-03-02
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Knit directory: RECCAP2_CESM_ETHZ_submission/
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File | Version | Author | Date | Message |
---|---|---|---|---|
html | 063851d | jens-daniel-mueller | 2021-03-02 | Build site. |
Rmd | 91e453a | jens-daniel-mueller | 2021-03-02 | split diagnostics scripts per variable |
path_cmorized_annual <-
"/nfs/kryo/work/loher/CESM_output/RECCAP2/submit_Dec2020/split/"
region_masks_all <-
read_csv("data/regions/RECCAP2_region_masks_all_clean.cvs")
overview <-
read_csv("data/overview/overview_files.csv")
# set name of model to be subsetted
experiment_IDs <- c("A", "B", "C", "D")
Comments:
# for loop across variables
variables <-
c("fgco2_glob"
# "fgco2_reg"
)
for (i_experiment_ID in experiment_IDs) {
for (i_variable in variables) {
# i_experiment_ID <- experiment_IDs[1]
# i_variable <- variables[1]
# read list of all files
file <- paste(i_variable,
"_CESM-ETHZ_",
i_experiment_ID,
"_1_gr_1980-2018.nc",
sep = "")
print(file)
# read in data
variable_data <-
tidync(paste(path_cmorized_annual,
file,
sep = ""))
# convert to tibble
variable_data_tibble <- variable_data %>%
hyper_tibble()
# remove open link to nc file
rm(variable_data)
print(variable_data_tibble %>%
ggplot(aes(time_mon,
!!sym(i_variable))) +
geom_path() +
labs(title = paste("experiment_ID:", i_experiment_ID)))
}
}
[1] "fgco2_glob_CESM-ETHZ_A_1_gr_1980-2018.nc"
Version | Author | Date |
---|---|---|
063851d | jens-daniel-mueller | 2021-03-02 |
[1] "fgco2_glob_CESM-ETHZ_B_1_gr_1980-2018.nc"
Version | Author | Date |
---|---|---|
063851d | jens-daniel-mueller | 2021-03-02 |
[1] "fgco2_glob_CESM-ETHZ_C_1_gr_1980-2018.nc"
Version | Author | Date |
---|---|---|
063851d | jens-daniel-mueller | 2021-03-02 |
[1] "fgco2_glob_CESM-ETHZ_D_1_gr_1980-2018.nc"
Version | Author | Date |
---|---|---|
063851d | jens-daniel-mueller | 2021-03-02 |
sessionInfo()
R version 4.0.3 (2020-10-10)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: openSUSE Leap 15.2
Matrix products: default
BLAS: /usr/local/R-4.0.3/lib64/R/lib/libRblas.so
LAPACK: /usr/local/R-4.0.3/lib64/R/lib/libRlapack.so
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
[5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=en_US.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] tidync_0.2.4 stars_0.4-3 sf_0.9-6 abind_1.4-5
[5] metR_0.9.0 scico_1.2.0 patchwork_1.1.1 collapse_1.5.0
[9] forcats_0.5.0 stringr_1.4.0 dplyr_1.0.2 purrr_0.3.4
[13] readr_1.4.0 tidyr_1.1.2 tibble_3.0.4 ggplot2_3.3.2
[17] tidyverse_1.3.0 workflowr_1.6.2
loaded via a namespace (and not attached):
[1] httr_1.4.2 jsonlite_1.7.1 modelr_0.1.8
[4] assertthat_0.2.1 blob_1.2.1 cellranger_1.1.0
[7] yaml_2.2.1 pillar_1.4.7 backports_1.1.10
[10] lattice_0.20-41 glue_1.4.2 RcppEigen_0.3.3.7.0
[13] digest_0.6.27 promises_1.1.1 checkmate_2.0.0
[16] rvest_0.3.6 colorspace_1.4-1 htmltools_0.5.0
[19] httpuv_1.5.4 Matrix_1.2-18 pkgconfig_2.0.3
[22] broom_0.7.2 haven_2.3.1 scales_1.1.1
[25] whisker_0.4 later_1.1.0.1 git2r_0.27.1
[28] farver_2.0.3 generics_0.0.2 ellipsis_0.3.1
[31] withr_2.3.0 cli_2.1.0 magrittr_1.5
[34] crayon_1.3.4 readxl_1.3.1 evaluate_0.14
[37] ncdf4_1.17 fs_1.5.0 fansi_0.4.1
[40] lwgeom_0.2-5 xml2_1.3.2 RcppArmadillo_0.10.1.2.0
[43] class_7.3-17 tools_4.0.3 data.table_1.13.2
[46] hms_0.5.3 lifecycle_0.2.0 munsell_0.5.0
[49] reprex_0.3.0 compiler_4.0.3 e1071_1.7-4
[52] RNetCDF_2.4-2 rlang_0.4.9 units_0.6-7
[55] classInt_0.4-3 grid_4.0.3 rstudioapi_0.13
[58] labeling_0.4.2 rmarkdown_2.5 gtable_0.3.0
[61] DBI_1.1.0 R6_2.5.0 ncmeta_0.3.0
[64] lubridate_1.7.9 knitr_1.30 rprojroot_2.0.2
[67] KernSmooth_2.23-17 stringi_1.5.3 parallel_4.0.3
[70] Rcpp_1.0.5 vctrs_0.3.5 dbplyr_1.4.4
[73] tidyselect_1.1.0 xfun_0.18